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Papers
61,005 resultsShowing papers similar to Fatigue limit estimation of metals based on the thermographic methods: A comprehensive review
ClearA Review of Fatigue Limit Assessment Using the Thermography-Based Method
This review examines fatigue limit assessment methodologies based on thermography, covering temperature-based, energy dissipation, and thermodynamic entropy indicators. The paper outlines the current state of research in this field and identifies areas for future study involving fatigue behavior analysis using thermal imaging techniques.
Rapid estimation of fatigue limit for C45 steel by thermography and digital image correlation
This materials engineering study used thermography and digital image correlation to rapidly estimate the fatigue limit of steel, linking temperature and mechanical changes to the onset of microplastic deformation in metal. It is a mechanical engineering paper not related to environmental microplastics.
Fatigue-Limit Assessment via Infrared Thermography for a High-Strength Steel
Despite its title referencing infrared thermography, this paper tests whether thermal imaging techniques can accurately assess the fatigue limits of high-strength steel under cyclic stress loading — not microplastic pollution. It examines materials engineering for metal fatigue testing and is not relevant to microplastics or human health.
Rapid Fatigue Limit Estimation of Metallic Materials Using Thermography-Based Approach
This paper is not about environmental microplastics; it uses the term "microplastic" in a materials science context to describe microscopic plastic deformation in metals during fatigue testing.
Fatigue Failure Assessment in Ultrasonic Test Based on Temperature Evolution and Crack Initiation Mechanisms
This study examined how temperature changes and crack formation can be used to detect fatigue failure in materials during ultrasonic testing. Researchers found that thermal imaging can identify fatigue damage earlier than conventional methods. The work advances non-destructive testing techniques for structural materials.
Thermo‐based fatigue life prediction: A review
Not relevant to microplastics — this review covers thermography-based methods for predicting the fatigue life of metals under cyclic stress, with no connection to plastic pollution or environmental health.
Dissipative aspects in thermographic methods
This engineering paper developed improved thermographic methods to detect the fatigue limit of steel by measuring tiny temperature changes during cyclic loading, correlating these signals with microplastic deformation at the crystal level. This is a materials engineering study with no relevance to environmental microplastics.
Energy Dissipation Measurement in Improved Spatial Resolution Under Fatigue Loading
This engineering study used infrared thermography to measure energy dissipation in materials under fatigue loading to quickly predict a material's failure threshold. It is a materials science paper unrelated to environmental microplastics.
Fatigue crack initiation detection by an infrared thermography method
This engineering paper studied temperature changes during high-frequency fatigue testing of metals using infrared thermography, identifying early indicators of crack initiation. This is a materials engineering study with no connection to microplastics or environmental health.
Deformation and dissipated energies for high cycle fatigue of 2024-T3 aluminium alloy
This materials engineering study used infrared thermography and digital image correlation to measure energy dissipation in aluminum alloy during high-cycle fatigue, relating tiny temperature changes to microplastic deformation at the crystal level. This is an engineering study on metal fatigue with no relevance to environmental microplastics.
Estimating the intrinsic dissipation using the second‐harmonic temperature signal in the tension–tension fatigue
Researchers developed a thermomechanical model linking the second-harmonic temperature signal from infrared thermography to intrinsic dissipation during tension-tension fatigue of metals, extending the approach to account for non-sinusoidal command signals from digital closed-loop controllers. The model was validated against a well-established approach using stepwise fatigue tests on C45 normalized steel plain specimens.
A damage-based uniaxial fatigue life prediction method for metallic materials
Researchers developed a faster method for determining how long metal components will last under repeated stress by tracking tiny changes in material stiffness as damage accumulates, rather than running tests until failure. The method was validated across ten different metals including steel, aluminum, and titanium, consistently matching results from standard but much more time-consuming tests.
Identification of the scatter in high cycle fatigue from temperature measurements
This engineering paper proposed using temperature measurements from thermography to determine the statistical scatter in metal fatigue performance, linking tiny temperature changes to microplasticity. This is a materials engineering study with no relevance to environmental microplastics.
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data
Researchers used a data-driven machine learning approach to assess the thermal structural integrity of materials under variable conditions, providing predictive models that can reduce reliance on costly physical testing. The methodology has broader applications for materials used in environments with high thermal stress.
Fatigue Performance Evaluation of AZ31B Magnesium Alloy Based on Statistical Analysis of Self-Heating
This engineering study tested fatigue behavior in AZ31B magnesium alloy, measuring how the material generates heat under stress in different orientations to predict its fatigue limit. The research has no direct relevance to microplastic or environmental health topics.
Highly Sensitive Nonlinear Identification to Track Early Fatigue Signs in Flexible Structures
Researchers developed a physics-based and data-driven nonlinear system identification approach for detecting and tracking early fatigue damage in flexible aluminum structures subjected to vibration. The method estimates nonlinear parameters including geometric stiffness and cubic damping as a function of fatigue cycles, enabling real-time structural health monitoring.